Co-occurring keywords · papers mentioning both
Papers
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
AAAI 2020
Learning Optimal Decision Trees using Constraint Programming (Extended Abstract)
IJCAI 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
AAAI 2020
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
AAAI 2020
Learning What to Defer for Maximum Independent Sets
ICML 2020
Lifted Disjoint Paths with Application in Multiple Object Tracking
ICML 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
ICML 2020
Maximum Nash Welfare and Other Stories About EFX
IJCAI 2020
MIPaaL: Mixed Integer Program as a Layer
AAAI 2020
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
NeurIPS 2020
Modelling Diversity of Solutions
AAAI 2020
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition
AAAI 2020
Myersonian Regression
NeurIPS 2020
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
AAAI 2020
On Maximization of Weakly Modular Functions: Guarantees of Multi-stage Algorithms, Tractability, and Hardness
AISTATS 2020
On the Problem of Covering a 3-D Terrain
AAAI 2020
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield
NeurIPS 2020
Optimization from Structured Samples for Coverage Functions
ICML 2020
Optimizing Reachability Sets in Temporal Graphs by Delaying
AAAI 2020
Parameterized Algorithms for Finding a Collective Set of Items
AAAI 2020
Participatory Budgeting with Project Interactions
IJCAI 2020
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks
AAAI 2020
Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling
ACML 2020
Predicting Propositional Satisfiability via End-to-End Learning
AAAI 2020
Protecting Geolocation Privacy of Photo Collections
AAAI 2020